Senior MLOps Engineer

Searchability; Brentford; On-site; GBP 86,000 - 105,000; Full time

Job summary

Searchability is seeking a Senior AI/ML Engineer with strong MLOps and ML infrastructure experience to deliver production-grade computer vision and ML systems for defence and security applications. You’ll collaborate with AI researchers, software engineers and leadership to move cutting-edge research from R&D to reliable, production-ready systems.

You’ll design, build and maintain infrastructure powering advanced AI systems across cloud and edge environments, developing distributed training

Qualifications

• Active security clearance required (SC or MoD DV).
• 4 days on-site in Brentford with future travel to Cambridge.
• Strong MLOps, ML infrastructure and production AI systems experience.
• Proficiency in Python/PyTorch and ML infrastructure.
• Experience with distributed ML training and ML lifecycle tooling.

Responsibilities

• Design, build and maintain infrastructure powering production AI systems from R&D to deployment.
• Develop distributed training pipelines and ML lifecycle tooling for reliable AI deployments.
• Support deployment across cloud and edge environments, ensuring observability and scalability.

Skills

Python

PyTorch

Ray

DeepSpeed

PyTorch Lightning

MLflow

TensorRT

ONNX

Docker

Kubernetes

GitHub Actions

Prometheus

Grafana

NVIDIA Jetson

DeepStream

Edge AI

Computer Vision

CI/CD

Tools

Kubeflow

Metaflow

Kafka

Job description

• Must hold active clearance – SC or MoD DV
• Up to £95k DoE plus bonus
• 4 days on site in Brentford – future expensed travel to client site in Cambridge
• Strong experience across MLOps, ML infrastructure and production AI systems

Who are we?

We are recruiting a Senior AI/ML Engineer with strong MLOps and ML infrastructure experience for a highly technical AI organisation delivering advanced computer vision and machine learning technologies across Defence, Security and other high-performance environments.

You’ll work alongside AI researchers, software engineers and technical leadership to take cutting‑edge machine learning research from R&D through to reliable, production‑ready systems. The role offers the opportunity to work on challenging AI applications deployed across both large‑scale cloud environments and edge platforms.

What will the Senior MLOps Engineer be doing?

You will design, build and maintain the infrastructure that powers advanced AI systems from research through to production. You’ll develop distributed training pipelines, build ML lifecycle infrastructure, optimise models for deployment and support reliable AI systems across cloud and edge environments.

Key Skills and Requirements

• Strong Python/PyTorch and ML infrastructure experience
• Experience with distributed ML training using Ray, DeepSpeed or PyTorch Lightning
• Strong MLflow, model registry and ML lifecycle experience
• Experience with TensorRT, ONNX, quantisation and model deployment
• Strong Docker, CI/CD and GitHub Actions experience
• Experience with Prometheus/Grafana monitoring and production observability
• Cloud/edge AI deployment, with NVIDIA Jetson/DeepStream highly desirable
• Knowledge of Kubernetes, Kubeflow, Metaflow and Kafka advantageous
• Computer vision, aerial/satellite/ISR experience highly beneficial

KEY SKILLS:

MLOps / MLOps Engineer / ML Infrastructure / ML Platform / AI Engineer / Machine Learning / ML / Python / PyTorch / Ray / DeepSpeed / PyTorch Lightning / MLflow / TensorRT / ONNX / Docker / Kubernetes / CI/CD / GitHub Actions / Prometheus / Grafana / Metaflow / Kafka / NVIDIA Jetson / DeepStream / Edge AI / Computer Vision / Deep Learning